Thomas W. Yee
Impact in
- Ecological Modeling top 1%
- Species Distribution and Climate Change
- Statistics and Probability top 1%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Advanced Statistical Methods and Models
Papers in
-
- Advanced Statistical Methods and Models 16
- Statistical Methods and Inference 10
- Statistical Methods and Bayesian Inference 9
- Co-authors
- Neil D. MitchellC. WildMasayori InouyeTrevor HastieAlec StephensonStephen MacMahonNorman SharpeRod Jackson
- Journals
- Journal of the Royal Statistical Society Series B (Statistical Methodology) (3 papers)Proceedings of the National Academy of Sciences (2 papers)Journal of Statistical Software (2 papers)Haemophilia (1 paper)Proceedings of the Royal Society B Biological Sciences (1 paper)
- Partner nations
- New ZealandUnited StatesSingapore
In The Last Decade
Thomas W. Yee
47 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 200
- Ecological Modeling 362
- Statistics and Probability 442
- Nature and Landscape Conservation 495
- Ecology 605
- Global and Planetary Change 469
Countries citing papers authored by Thomas W. Yee
This map shows the geographic impact of Thomas W. Yee's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Thomas W. Yee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas W. Yee more than expected).
Fields of papers citing papers by Thomas W. Yee
This network shows the impact of papers produced by Thomas W. Yee. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Thomas W. Yee. The network helps show where Thomas W. Yee may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas W. Yee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2021 | 11 | |
| 4 | Vector Generalized Linear and Additive Models [R package VGAM version 1.1-3] | 2020 | 1 |
| 5 | 2015 | 145 | |
| 6 | Vector Generalized Linear and Additive Models Hit paper breakdown → | 2015 | 245 |
| 7 | Inhibitor eradication therapy in non-severe hemophilia A | 2013 | 1 |
| 8 | Phonological development: establishing norms for New Zealand children aged 5;0 to 5;11 years | 2011 | 1 |
| 9 | 2010 | 56 | |
| 10 | 2009 | 10 | |
| 11 | 2006 | 30 | |
| 12 | 2004 | 36 | |
| 13 | 2004 | 40 | |
| 14 | 2003 | 26 | |
| 15 | Hospital admissions and deaths due to congestive heart failure in New Zealand, 1988-91. | 1995 | 61 |
| 16 | 1995 | 254 | |
| 17 | 1994 | 8 | |
| 18 | 1991 | 42 | |
| 19 | Generalized additive models in plant ecology Hit paper breakdown → | 1991 | 597 |
| 20 | 1988 | 9 |
About Thomas W. Yee
Thomas W. Yee is a scholar working on Statistics and Probability, Medical Laboratory Technology, Ecological Modeling, Applied Mathematics and Nature and Landscape Conservation, having authored 48 papers that have together received 3.2k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (16 papers), Statistical Methods and Inference (10 papers), Statistical Methods and Bayesian Inference (9 papers), Bacterial Genetics and Biotechnology (5 papers), Statistical and numerical algorithms (4 papers), DNA and Nucleic Acid Chemistry (4 papers), Ecology and Vegetation Dynamics Studies (3 papers) and Bacteriophages and microbial interactions (3 papers). The work is most often cited by research in Ecological Modeling (362 citations), Statistics and Probability (442 citations), Nature and Landscape Conservation (495 citations), Ecology (605 citations) and Global and Planetary Change (469 citations). Thomas W. Yee has collaborated with scholars based in New Zealand, United States and Singapore. Frequent co-authors include Neil D. Mitchell, C. Wild, Masayori Inouye, Trevor Hastie, Alec Stephenson, Stephen MacMahon, Norman Sharpe, Rod Jackson, Teiichi Furuichi and Sumiko Inouye. Their work appears in journals such as Journal of the Royal Statistical Society Series B (Statistical Methodology), Proceedings of the National Academy of Sciences, Journal of Statistical Software, Haemophilia and Proceedings of the Royal Society B Biological Sciences.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.